How are AI/ML technologies currently used for R&D applications?

a person holding a laptop

AI/ML technologies are rapidly reshaping the R&D landscape, particularly in drug discovery, where groundbreaking tools transform how researchers identify and develop new treatments. These technologies provide the ability to analyze complex data, automate processes, and uncover insights that were once out of reach. With their power to drive efficiency and innovation, AI/ML is making a […]

Key drivers behind the growing adoption of AI and ML in life science R&D

AI for Life Science Blog feature image of person at microscope

Welcome to part three of our series, Unlocking AI in the lab: Your 2025 Roadmap to Data Readiness & Scalable Innovation. The rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) in life science research and development (R&D) is reshaping the landscape of modern healthcare and pharmaceutical innovation. As the volume and complexity of […]

On Demand Webinar – The Convergence of Generative AI and Structured Content

Aritificial Intelligence

Presented by: Gabor Fari, Co-Founder and Principal, InteliNotion Overview The biopharma industry operates in a highly regulated environment with constantly evolving guidelines. To navigate this landscape, leveraging advanced technologies is essential for streamlining content creation and ensuring compliance. Generative AI (GenAI) is proving to be a transformative tool, revolutionizing content generation, regulatory information management, and […]

On Demand Webinar – Exploring Digitalization and AI Ready Laboratory Data

laboratory data

A webinar sponsored by Astrix Presented by – Richard Lee, Director, Core Technology and Capabilities, ACD/Labs Overview The pharmaceutical industry is embracing digital transformation to help leverage analytical and chemistry data and enhance and accelerate innovation. The promise of machine learning (ML) and artificial intelligence (AI) requires well-organized, accessible data and technologies that will support these […]

AI, ML, and HPC in Federal Research and Labs: Transforming the Future of Science

The convergence of Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) is revolutionizing federal research and laboratories. These technologies are driving unprecedented advancements in scientific discovery, data analysis, and operational efficiency. This blog explores how AI, ML, and HPC are being integrated into federal research and labs, highlighting their transformative impact. The Role […]

The Growing Impact of Artificial Intelligence (AI) in the Research Lab

research lab

The impact of artificial intelligence (AI) in research labs is growing by the day and it’s no longer a technology that is “on the horizon”.  AI is a class of technology that is top of mind for many R&D information technology professionals.  Some would say, artificial intelligence is transforming scientific discovery, but what is it […]

Three Ways AI (Artificial Intelligence) is Being Used to Streamline Clinical Trials

Artificial Intelligence (AI) has been continuously integrated into the field of clinical research. A formerly time-consuming workflow has now been shifted into an efficient process with lowered cost, less labor and improved clinical trial outcomes. As society shifts into a technology and digital driven era, it is important to see how this can be leveraged […]

On Demand Webinar – On Demand Webinar – Learning What You Know Practical Applications of AI in Pharmaceutical R&D

artificial intelligence

Overview Data access, aggregation, and analysis drive R&D decision-making process. It’s not just about answering a hypothesis; it’s also about determining the next one. The challenge arises in ensuring that the right information is surfaced to the right people at the right time. Relying on disconnected informatics systems, however, has often resulted in critical decisions […]

On Demand Webinar – Automate Clinical Documents with Generative AI

Aritificial Intelligence

Webinar Overview With the explosion of generative AI and the emergence of LLMs over the last year, what are the ramifications across the clinical document landscape? Increasingly, life sciences firms are leveraging content automation solutions to maximize the efficiency, accuracy, and standardization of reporting and writing processes. In this session, Tim Martin, Executive VP of […]